Question

Current Dividend in $

Mean 0.14

Standard Error 0.01

Median 0.12

Mode 0.05

Standard Deviation 0.12

Sample Variance 0.01

Kurtosis 1.19

Skewness 1.28

Range 0.51

Minimum 0.01

Maximum 0.52

Sum 12.07

Count 84

- Use the above summary measures to compute a 95% confidence interval of the mean Dividend of all Companies that pay a dividend.
- How would you interpret this interval?
- A reputable financial advisor recently made an estimate that
when a company does pay a dividend, that dividend, on average, was
16.5 cents. Does your calculation from part (a) support this
contention, disprove the contention or is it too close to say?
Explain your reasoning.
_{ } - Explain how your conclusions in part (c) might be affected if you used a 99% confidence interval instead of a 95% confidence interval (No calculations required).
- For the confidence interval calculated above in part (a), had
the sample size of Companies been
*n = 50*instead of*n*= 84, could you have come to a different conclusion in (c)? Explain your answer. (No calculations are required.) - If the sample size of Companies was
*n = 20*what potential problems could there be in performing this type of analysis? (No calculations are required.)

Answer #1

Pages
Pages
2698
2028
Mean
2408.8
2474
Standard
Error
96.2684672
2395
Median
2387
2372
Mode
#N/A
2475
Standard
Deviation
304.4276232
1927
Sample
Variance
92676.17778
3006
Kurtosis
0.976147469
2334
Skewness
0.345521688
2379
Range
1079
Minimum
1927
Maximum
3006
Sum
24088
Count
10
Confidence Level(95.0%)
217.7744026
Please answer these questions by using the information
above.
What is the point estimate?
What is the confidence interval (using the information you
generated)?
What is the approximate probability that the true mean number
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